imbalanced learning
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The application of improved imbalanced learning based on fuzzy C-means clustering (FCM) and SMOTE

2022 ◽  
Author(s):  
Haider Mustafa Mueen ◽  
A. Ghazikhani ◽  
Yasir Abdul Zahra Flaiyh Alaabedi
Keyword(s):  
Imbalanced Learning ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering

Boundary Focal Loss for Class Imbalanced Learning

2021 ◽  
Author(s):  
Weizhong Lin ◽  
Peng Wu ◽  
Xuan Xiao
Keyword(s):  
Imbalanced Learning

LDAMSS: Fast and efficient undersampling method for imbalanced learning

2021 ◽  
Author(s):  
Ting Liang ◽  
Jie Xu ◽  
Bin Zou ◽  
Zhan Wang ◽  
Jingjing Zeng
Keyword(s):  
Imbalanced Learning

Boosting the oversampling methods based on differential evolution strategies for imbalanced learning

2021 ◽  
pp. 107787
Author(s):  
Sedat Korkmaz ◽  
Mehmet Akif Sahman ◽  
Ahmet Cevahir Cinar ◽  
Ersin Kaya
Keyword(s):  
Differential Evolution ◽  
Evolution Strategies ◽  
Imbalanced Learning

Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning

2021 ◽  
Author(s):  
Jiao Yin ◽  
MingJian Tang ◽  
Jinli Cao ◽  
Hua Wang ◽  
Mingshan You ◽  
...  
Keyword(s):  
Imbalanced Learning ◽  
Integrated Framework ◽  
Time Prediction
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